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Rag Engineer Jobs in Oregon (NOW HIRING)

Tebra

Senior AI Automation Engineer

OR · On-site +1

$103K - $136K/yr

Data/RAG Pipeline Design & Management * * Design and automate data flow processes to support AI ... Programming for Automation * Write modular, reusable scripts in Python, Ruby, SQL, or JavaScript to ...

LTS

AI Platform and Harness Engineer

OR · On-site +1

Collaborate with AI architects and engineering teams to integrate LLMs, RAG pipelines, vector ... databases, and agentic AI solutions into enterprise applications. * Support deployment of AI ...

EM Key Solutions Inc

AI Engineer

OR · On-site +1

Build AI Copilots, AI Agents, and Retrieval-Augmented Generation (RAG) solutions to improve software engineering, testing, documentation, and operational workflows. * Develop intelligent automation ...

EM Key Solutions Inc

Temporary AI Engineer

OR · On-site +1

Build AI Copilots, AI Agents, and Retrieval-Augmented Generation (RAG) solutions to improve software engineering, testing, documentation, and operational workflows. * Develop intelligent automation ...

Particle41

AI Engineer

OR · On-site +1

Build generative-AI solutions (RAG, Agentic Workflows, MCP Servers, Conversation AI Agents) aligned with business goals. * Work closely with data engineering teams to build/maintain data pipelines ...

Deloitte

AI Engineer Consultant

Portland, OR · Hybrid

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ... Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ...

LTS

Senior Applied AI Engineer

OR · On-site +1

$122K - $161K/yr

Continuously refine Retrieval-Augmented Generation (RAG) pipelines, retrieval strategies ... Knowledge Engineer * Collaborate with software engineers to improve knowledge ingestion, document ...

ClickHouse

Senior Software Engineer - Integrations - AI/ML

OR · On-site +1

$122K - $161K/yr

... stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML ... Collaborate with Product, Cloud, and other engineering teams to align integration work with broader ...

Grafana Labs

Staff AI Engineer | US | Remote

OR · On-site +1

The Opportunity Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent ... Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal ...

Redapt

Forward Deployed Engineer, Agentic AI

OR · On-site +1

Forward Deployed Engineer, Agentic AI About the Role Redapt is building dedicated capacity to ... Experience with evaluation frameworks, RAG pipelines, or agent orchestration frameworks (e.g ...

Clari + Salesloft

Principal Software Engineer, AI

OR · On-site +1

$134K - $180K/yr

This includes a knowledge graph, RAG and retrieval systems, and the access control and governance ... The Engineering Team at Clari + Salesloft is deeply committed to building an enterprise-grade ...

phData

Forward Deployed AI Product Engineer

OR · On-site +1

RAG, LLM orchestration, agentic workflows, and modern AI evaluation and guardrails. You see AI tools as essential infrastructure for modern engineering. * You can rapidly prototype with modern tools ...

Cresta

Staff Machine Learning Engineer

OR · On-site +1

Design and evolve multi-agent orchestration frameworks that combine RAG, structured knowledge ... Mentor senior engineers, raise the technical bar, and contribute to long-term AI strategy and ...

Cresta

Senior Developer Relations Engineer

OR · On-site +1

Stay hands-on with agent building and testing : prompt engineering, tool/function calling, RAG, and evaluation, so the content you produce reflects real, current platform capability rather than ...

JS Consulting

AI-forward Software Engineer

Beaverton, OR · On-site

Understanding of Copilot Enterprise and Amazon Q for Business, including RAG and internal codebase ... Passion for generative AI and developer enablement. Instructional & Communication Skills * Advanced ...

Cresta

Senior Machine Learning Engineer

OR · On-site +1

$205K - $270K/yr

Design, deploy, and optimize LLM-powered systems, including Retrieval-Augmented Generation (RAG ... Mentor engineers, contribute to technical strategy, and help shape the roadmap for Cresta's AI ...

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Showing results 1-20

All JobsRag Engineer JobsRag Engineer Jobs in Oregon

Rag Engineer information

See Oregon salary details

$62.9K

$95.7K

$162.3K

How much do rag engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for rag engineer in Oregon is $95,696.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,400.00 and $111,000.00 per year, depending on experience, location, and employer.

What is the difference between Rag Engineer vs Textile Technician?

AspectRag EngineerTextile Technician
Required CredentialsEngineering degree, technical certificationsDiploma or degree in textiles or related field
Work EnvironmentFactories, manufacturing plants, R&D labsTextile mills, production facilities, quality control labs
Industry UsageDesigning and improving rag production processesMonitoring textile quality, testing fabrics

While both roles involve working within the textile industry, a Rag Engineer primarily focuses on the engineering aspects of rag production, process optimization, and machinery, whereas a Textile Technician concentrates on fabric testing, quality control, and ensuring textile standards are met. The roles often overlap in industry settings but differ in technical focus and responsibilities.

How to become a rag engineer?

To become a rag engineer, you typically need a bachelor's degree in engineering, materials science, or a related field. Relevant skills include knowledge of manufacturing processes, quality control, and proficiency with industry tools and equipment; certifications in quality management or safety can also be beneficial. Gaining experience through internships or entry-level positions in manufacturing environments is important for career advancement.

What are popular job titles related to Rag Engineer jobs in Oregon?

For Rag Engineer jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Rag Engineer jobs in Oregon look for?

The top searched job categories for Rag Engineer jobs in Oregon are:

What cities in Oregon are hiring for Rag Engineer jobs?

Cities in Oregon with the most Rag Engineer job openings:

Rag Engineer jobs near you
Infographic showing various Rag Engineer job openings in Oregon as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $95,696 per year, or $46 per hour.

Senior AI Automation Engineer

Tebra

OR • On-site, Remote

$103K - $136K/yr

Full-time

Re-posted 21 days ago

Job description

About the Role

We are seeking a hands-on AI & Automation Engineer to design, build, and optimize integrations, automations, and advanced AI workflows, including agentic architecture, that power our enterprise business operations. You'll own the Workato automation stack, engineer scalable AI workflows on top of core platforms (Salesforce, NetSuite, Snowflake, Slack), and implement agentic capabilities that allow systems to act as intelligent tools, reducing manual work and accelerating insights.

This role requires deep technical execution skills in integration development, agentic system design, and programming, combined with a practical understanding of AI workflows. You will collaborate directly with stakeholders to translate business needs into scalable, automated solutions and deliver measurable improvements in system efficiency and operational performance.

Your Area of Focus

Integration & Automation Development

    • Design, build, and maintain Workato recipes, connectors, and orchestrations for Salesforce, NetSuite, Slack, and Snowflake.
    • Implement error handling, observability, and reusable design patterns to ensure reliability and scalability.

Agentic System Design

    • Architect multi-agent systems: tool selection, planning loops, state management, human-in-the-loop Checkpoints.
    • Partner with stakeholders to design corporate systems (Salesforce, NetSuite, Snowflake, Slack, etc) as agent-callable tools, not just data sources.
    • Build guardrails, fallbacks and error recovery for non-deterministic workflows.

Data/RAG Pipeline Design & Management

    • Design and automate data flow processes to support AI retrieval (RAG) and insights generation across core enterprise platforms.
    • Build evaluation into every system to ensure high quality results, considering precision, answer faithfulness, latency, and cost.
    • Own the Retrieval-Augmented Generation (RAG) lifecycle end-to-end, including ingestion, chunking strategy, embeddings, vector storage, and reranking.
    • Implement data quality checks and architectural safeguards to ensure trusted, high-fidelity datasets for AI agents.

AI Operations

    • Production observability: prompt/response tracing, cost monitoring, eval dashboards.
    • Document agent behavior, decision logic and failure modes.
    • A/B testing agent versions, model comparisons.

Programming for Automation

    • Write modular, reusable scripts in Python, Ruby, SQL, or JavaScript to support integration, data transformation, and automation tasks.

Governance & Documentation

    • Apply data governance practices for lineage, security, and retention.
    • Maintain technical documentation, diagrams, and version control via GitHub, Confluence, and Jira.
Your Professional Qualifications
  • 5+ years of experience in integration, automation, AI, or software engineering, with 1+ year hands-on in Workato.
  • Proven expertise with Enterprise iPaaS required (Workato, Mulesoft, or similar).
  • Deep proficiency in designing, implementing, and architecting complex AI workflows and integrations across core platforms (Salesforce, NetSuite, Slack, and Snowflake).
  • Hands-on technical background in programming (Python, Ruby, or similar), leveraging APIs to build and maintain scalable, high-fidelity enterprise systems.
  • Experience using vector databases such as Pinecone, Snowflake Cortex Search, and pgvector for Retrieval-Augmented Generation (RAG).
  • Experience with AI/ML concepts and implementing agentic architecture and AI workflows in enterprise environments.
  • Experience with Cloud Platforms such as GCP or AWS preferred.
  • Experience with GitHub for version control, Jira for work tracking, and Confluence/Lucid for documentation.
  • Strong problem-solving, critical thinking, and ability to execute under minimal supervision.
  • Motivated to learn new technologies and develop new skills.
  • Track record of introducing innovation in automation and AI while maintaining governance and system reliability.
  • Workato Automation Pro , Foundations or SnowPro certifications preferred.

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